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cpu_format_coo.hpp
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1/**********************************************************************************/
2/* This file is part of spla project */
3/* https://github.com/SparseLinearAlgebra/spla */
4/**********************************************************************************/
5/* MIT License */
6/* */
7/* Copyright (c) 2023 SparseLinearAlgebra */
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9/* Permission is hereby granted, free of charge, to any person obtaining a copy */
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27
28#ifndef SPLA_CPU_FORMAT_COO_HPP
29#define SPLA_CPU_FORMAT_COO_HPP
30
31#include <cpu/cpu_formats.hpp>
32
33namespace spla {
34
40 template<typename T>
41 void cpu_coo_resize(const uint n_values,
42 CpuCoo<T>& storage) {
43 storage.Ai.resize(n_values);
44 storage.Aj.resize(n_values);
45 storage.Ax.resize(n_values);
46 storage.values = n_values;
47 }
48
49 template<typename T>
51 in.Ai.clear();
52 in.Aj.clear();
53 in.Ax.clear();
54 in.values = 0;
55 }
56
57 template<typename T>
58 void cpu_coo_to_lil(uint n_rows,
59 const CpuCoo<T>& in,
60 CpuLil<T>& out) {
61 auto& Rr = out.Ar;
62
63 auto& Ai = in.Ai;
64 auto& Aj = in.Aj;
65 auto& Ax = in.Ax;
66
67 assert(Rr.size() == n_rows);
68
69 for (uint k = 0; k < in.values; k++) {
70 const uint i = Ai[k];
71 const uint j = Aj[k];
72 const T x = Ax[k];
73
74 Rr[i].emplace_back(j, x);
75 }
76 }
77
78 template<typename T>
79 void cpu_coo_to_dok(const CpuCoo<T>& in,
80 CpuDok<T>& out) {
81 auto& Rx = out.Ax;
82
83 auto& Ai = in.Ai;
84 auto& Aj = in.Aj;
85 auto& Ax = in.Ax;
86
87 assert(Rx.empty());
88
89 for (uint i = 0; i < in.values; i++) {
90 typename CpuDok<T>::Key key{Ai[i], Aj[i]};
91 Rx[key] = Ax[i];
92 }
93 }
94
95 template<typename T>
96 void cpu_coo_to_csr(uint n_rows,
97 const CpuCoo<T>& in,
98 CpuCsr<T>& out) {
99 auto& Rp = out.Ap;
100 auto& Rj = out.Aj;
101 auto& Rx = out.Ax;
102 auto& Ai = in.Ai;
103 auto& Aj = in.Aj;
104 auto& Ax = in.Ax;
105
106 assert(Rp.size() == n_rows + 1);
107 assert(Rj.size() == in.values);
108 assert(Rx.size() == in.values);
109
110 std::fill(Rp.begin(), Rp.end(), 0u);
111
112 for (uint k = 0; k < in.values; ++k) {
113 Rp[Ai[k]] += 1;
114 }
115
116 std::exclusive_scan(Rp.begin(), Rp.end(), Rp.begin(), 0, std::plus<>());
117 assert(Rp[n_rows] == in.values);
118
119 for (uint k = 0; k < in.values; ++k) {
120 Rj[k] = Aj[k];
121 Rx[k] = Ax[k];
122 }
123 }
124
129}// namespace spla
130
131#endif//SPLA_CPU_FORMAT_COO_HPP
CPU list of coordinates matrix format.
Definition cpu_formats.hpp:148
std::vector< uint > Aj
Definition cpu_formats.hpp:155
std::vector< T > Ax
Definition cpu_formats.hpp:156
std::vector< uint > Ai
Definition cpu_formats.hpp:154
CPU compressed sparse row matrix format.
Definition cpu_formats.hpp:166
std::vector< uint > Ap
Definition cpu_formats.hpp:172
std::vector< uint > Aj
Definition cpu_formats.hpp:173
std::vector< T > Ax
Definition cpu_formats.hpp:174
Dictionary of keys sparse matrix format.
Definition cpu_formats.hpp:128
robin_hood::unordered_flat_map< Key, T, pair_hash > Ax
Definition cpu_formats.hpp:137
std::pair< uint, uint > Key
Definition cpu_formats.hpp:134
CPU list-of-list matrix format for fast incremental build.
Definition cpu_formats.hpp:107
std::vector< Row > Ar
Definition cpu_formats.hpp:117
uint values
Definition tdecoration.hpp:58
void cpu_coo_to_csr(uint n_rows, const CpuCoo< T > &in, CpuCsr< T > &out)
Definition cpu_format_coo.hpp:96
void cpu_coo_resize(const uint n_values, CpuCoo< T > &storage)
Definition cpu_format_coo.hpp:41
void cpu_coo_clear(CpuCoo< T > &in)
Definition cpu_format_coo.hpp:50
void cpu_coo_to_dok(const CpuCoo< T > &in, CpuDok< T > &out)
Definition cpu_format_coo.hpp:79
void cpu_coo_to_lil(uint n_rows, const CpuCoo< T > &in, CpuLil< T > &out)
Definition cpu_format_coo.hpp:58
std::uint32_t uint
Library index and size type.
Definition config.hpp:56
Definition algorithm.hpp:37